A SOFTWARE-DEFINED NETWORKING: A COMPREHENSIVE EXPLORATION OF ITS TRENDS, CHALLENGES, AND OPPORTUNITIES
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Abstract
Software-defined networking (SDN) is an emerging network architecture that decouples the control plane from the data plane, enabling centralized programmability and management of networks. While SDN offers benefits like flexibility, scalability, and automation, it also introduces new security vulnerabilities. This literature review analyzes the current state of research on SDN security in three key domains – Internet of Things (IoT) environments, cloud computing, and traditional enterprise networks. A systematic review methodology was followed to search, select, and review 53 relevant studies published in the past 5 years. The analysis focuses on identifying common SDN threat vectors, security solutions proposed leveraging SDN programmability and evaluating their effectiveness based on results from simulations, testbed experiments, and initial real-world implementations. Key findings of the review include lack of authentication, susceptibility to DDoS attacks, and flow rule conflicts as major security issues in SDN across domains. Dynamic traffic monitoring, access control, policy orchestration, and virtualized security functions are commonly proposed techniques to enhance SDN security. However, limitations exist in robustness testing at scale, emerging paradigms like fog computing, and quantitatively comparing SDN security with legacy networks. As SDN adoption expands, focused efforts are needed to address these research gaps through innovations in data-driven security, coordinated security policy, and emphasizing SDN controller security. This review provides valuable insights into the current state of SDN security research and informs future efforts needed in this important area.
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